Publication Formality Style Transfer with Shared Latent Space Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, WenHan Chao International Conference on Computational Linguistics | December 2020
Publication Uncertainty-aware Self-training for Few-shot Text Classification Subhabrata (Subho) Mukherjee, Ahmed Awadallah NeurIPS 2020 (Spotlight) | December 2020 Github Project
Publication Online Influence Maximization under Linear Threshold Model Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020 Some typos in the original NeurIPS'2020 paper have been fixed.
Publication RD2: Reward Decomposition with Representation Disentanglement Zichuan Lin, Derek Yang, Li Zhao, Tao Qin (taoqin), Guangwen Yang, Tie-Yan Liu Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2020 Project
Publication Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval Bhaskar Mitra December 2020 PhD Thesis: University College London | December 2020
Publication Overcoming Failures of Imagination in AI Infused System Development and Deployment Margarita Boyarskaya, Alexandra Olteanu, Kate Crawford In the Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020 | December 2020 Video
Publication The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan, Shruti Tople, Amit Sharma Privacy Preserving Machine Learning (PriML/PPML) Workshop at NeurIPS’20 | December 2020
Publication BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson MSR-TR-2020-54 | December 2020 Published by Microsoft Research Project Project
Publication AdaTune: Adaptive Tensor Program Compilation Made Efficient Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li 34th Conference on Neural Information Processing Systems (NeurIPS 2020) | December 2020 Project
Publication On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk NeurIPS 2020 | December 2020